5.9GHz IEEE 802.11p inter-vehicle communication: Non-Line-of-Sight reception under competition

Inter-vehicle communication promises to prevent accidents by enabling applications such as cross-traffic assistance. This application requires information from vehicles in Non-Line-of-Sight (NLOS) areas due to buildings at intersection corners. The periodic Cooperative Awareness Messages (CAM) are foreseen to be sent via 5.9GHz IEEE 802.11p. While reception rate measurements and validated propagation models for vehicular 5.9GHz NLOS conditions recently emerged, NLOS reception rates under competition on the channel are an open issue and require an in-depth evaluation to judge application feasibility. In this paper, we investigate NLOS reception on a 5.9GHz inter-vehicle communication channel by network simulation in ns-2. The simulator has been enhanced to support a state of the art vehicular NLOS propagation model. A traffic flow simulation is used to derive realistic simulation scenarios, reflecting cross-traffic assistance critical traffic situations. Results of the network simulations under different environment conditions show that reception rates in NLOS areas are on acceptable levels under competition on the channel by various transmitters.

[1]  Javier Gozalvez,et al.  Channel Efficiency of Adaptive Transmission Techniques for Wireless Vehicular Communications , 2008 .

[2]  Luca Delgrossi,et al.  Communication Density: A Channel Load Metric for Vehicular Communications Research , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

[3]  Harumi Ito,et al.  Field evaluation of UHF radio propagation for an ITS safety system in an urban environment , 2009, IEEE Communications Magazine.

[4]  Fredrik Tufvesson,et al.  Radio Channel Measurements at Street Intersections for Vehicle-to-Vehicle Safety Applications , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[5]  Qi Chen,et al.  Overhaul of ieee 802.11 modeling and simulation in ns-2 , 2007, MSWiM '07.

[6]  Luca Delgrossi,et al.  Optimal data rate selection for vehicle safety communications , 2008, VANET '08.

[7]  H. Murata,et al.  Performance of Inter-vehicle Communication Technique for Intersection Collision Warning , 2005, 2005 5th International Conference on Information Communications & Signal Processing.

[8]  Hannes Hartenstein,et al.  Vehicular safety communication at intersections: Buildings, Non-Line-Of-Sight and representative scenarios , 2011, 2011 Eighth International Conference on Wireless On-Demand Network Systems and Services.

[9]  J. Gozalvez,et al.  Wireless Vehicular Adaptive Radio Resource Management Policies in Congested Channels , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[10]  Hannes Hartenstein,et al.  A validated 5.9 GHz Non-Line-of-Sight path-loss and fading model for inter-vehicle communication , 2011, 2011 11th International Conference on ITS Telecommunications.

[11]  Mohammad Nekoui,et al.  Evaluation of the Universal Geocast Scheme for VANETs , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[12]  Reinhard German,et al.  A computationally inexpensive empirical model of IEEE 802.11p radio shadowing in urban environments , 2011, 2011 Eighth International Conference on Wireless On-Demand Network Systems and Services.

[13]  Hannes Hartenstein,et al.  Real-World Measurements of Non-Line-Of-Sight Reception Quality for 5.9GHz IEEE 802.11p at Intersections , 2011, Nets4Cars/Nets4Trains.

[14]  Giovanni Pau,et al.  CORNER: A Radio Propagation Model for VANETs in Urban Scenarios , 2011, Proceedings of the IEEE.

[15]  Thomas Kurner,et al.  Comparison of path loss measurements and predictions at urban crossroads for C2C communications , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).

[16]  Daniel Krajzewicz,et al.  The Open Source Traffic Simulation Package SUMO , 2006 .